[aspect-devel] The output of nonadiabatic_temperature

Juliane Dannberg dannberg at gfz-potsdam.de
Tue Oct 11 10:50:46 PDT 2016

Hi Nan,

I haven't found a good way to plot the depth average files in Paraview, 
and as far as I know we also don't have a visualization postprocessor 
that does exactly what you want to do (if anyone has a good idea please 
speak up!)
When I used the "depth average" postprocessor I always used pyplot for 
visualization, so if you already have all of your output as .csv you 
could write a python script to make your plot.

If you want to use Paraview, you would probably have to write your own 
postprocessor in Aspect that outputs exactly what you want (and we would 
be happy to see a pull request for that!).
Alternatively, you could write your own adiabatic conditions plugin that 
computes the average temperature for each depth and updates it every 
time step and uses that as adiabatic temperature (and then you could use 
the "nonadiabatic temperature" postprocessor). That second option is 
more of a hack, and would only work if you don't need the adiabatic 
temperature for anything else in your model, because in this case your 
adiabatic conditions would contain something that's not really an 
adiabatic profile any more, but it would probably be easier to implement.


On 10/11/2016 11:05 AM, Nan Zhang wrote:
> Hi Juliane,
> Thanks for your suggestion. What I really want is the excess 
> temperature, the T subtracted from the average temperature on depth. I 
> have done the post-processing with the .csv format, because Paraview 
> converts the .vtu file to .csv file.
> My problem is the csv file is not good for paraview plotting anymore. 
> Paraview plots csv file with table to point. There is no any 
> smooth/grid between points. The visualization is very bad. Have you 
> guys done any conversion from csv back to vtu before??
> Cheers,
> Nan
> On Wed, Oct 12, 2016 at 12:53 AM, Juliane Dannberg 
> <dannberg at gfz-potsdam.de <mailto:dannberg at gfz-potsdam.de>> wrote:
>     Hi Nan,
>     there are different options for outputting the temperature
>     difference between plume and background mantle, and which one you
>     want to use depends on what exactly you want to know:
>     If you use the "nonadiabatic temperature", you will get the excess
>     temperature of the plume with respect to an adiabatic mantle
>     temperature profile. If you are worried your adiabat will change
>     over time, there is an update() function in the interface of the
>     adiabatic conditions, so in principle you could use an existing
>     model for the adiabatic conditions and implement this function,
>     and then your adiabatic profile would be updated every time step.
>     Alternatively, if you want to compare the plume temperature to the
>     current average mantle temperature at a given depth, you can use
>     Aspect's "depth average" postprocessor. It computes depth averaged
>     quantities (including the temperature) and writes them into a
>     separate output file.
>     Best,
>     Juliane
>     On 10/11/2016 04:23 AM, Nan Zhang wrote:
>>     Hi all,
>>     I am doing a compressible model and try to plot the plume
>>     structure. The plume is defined by the high temperature
>>     difference from current average temperature at every depth. I see
>>     ASPECT has an output "nonadiabatic_temperature". I wonder if this
>>     output serves my purpose?
>>     What I concerned is if the adiabatic temperature is not exactly
>>     the same as my average temperature at every depth. When I set up
>>     my model, I initialize the adiabatic temperature profile with
>>     specific parameters. In theory, it should be the same as the
>>     average temperature at every depth. But, after billion year
>>     calculation, the average temperature at every depth deviates away
>>     from the initial adiabatic temperature profile.
>>     So, I wonder if there is an output
>>     "average_subtracted_temperature" in ASPECT? If so, it could also
>>     serve the plume in the incompressible convection model.
>>     Bests,
>>     Nan
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